Psychiatry

Latest AI and machine learning research in psychiatry for healthcare professionals.

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Project INSIDE: towards autonomous semi-unstructured human-robot social interaction in autism therapy.

This paper describes the INSIDE system, a networked robot system designed to allow the use of mobile...

Dec 2018 30598330
iMEGES: integrated mental-disorder GEnome score by deep neural network for prioritizing the susceptibility genes for mental disorders in personal genomes.

BACKGROUND: A range of rare and common genetic variants have been discovered to be potentially assoc...

Dec 2018 30591030
BP neural network prediction model for suicide attempt among Chinese rural residents.

OBJECTIVE: This study aimed to establish and assess the Back Propagation Neural Network (BPNN) predi...

Dec 2018 30599370
Predicting persistent depressive symptoms in older adults: A machine learning approach to personalised mental healthcare.

BACKGROUND: Depression causes significant physical and psychosocial morbidity. Predicting persistenc...

Dec 2018 30795491
Resting-state anticorrelated networks in Schizophrenia.

Converging evidences from different lines of research suggest abnormalities in functional brain conn...

Dec 2018 30605823
Group Differences in Facial Emotion Expression in Autism: Evidence for the Utility of Machine Classification.

Effective social communication relies, in part, on accurate nonverbal expression of emotion. To eval...

Dec 2018 31208691
Computer vision and behavioral phenotyping: an autism case study.

Despite significant recent advances in molecular genetics and neuroscience, behavioral ratings based...

Dec 2018 37786644
A Machine Learning Approach to Reveal the NeuroPhenotypes of Autisms.

Although much research has been undertaken, the spatial patterns, developmental course, and sexual d...

Dec 2018 30782022
A signature-based machine learning model for distinguishing bipolar disorder and borderline personality disorder.

Mobile technologies offer new opportunities for prospective, high resolution monitoring of long-term...

Dec 2018 30546013
Predicting instructed simulation and dissimulation when screening for depressive symptoms.

The intentional distortion of test results presents a fundamental problem to self-report-based psych...

Dec 2018 30542818
Machine learning for predicting psychotic relapse at 2 years in schizophrenia in the national FACE-SZ cohort.

BACKGROUND: Predicting psychotic relapse is one of the major challenges in the daily care of schizop...

Dec 2018 30552914
Identifying disease genes using machine learning and gene functional similarities, assessed through Gene Ontology.

Identifying disease genes from a vast amount of genetic data is one of the most challenging tasks in...

Dec 2018 30532199
From cognitive and clinical substrates to functional profiles: Disentangling heterogeneity in schizophrenia.

The relationship between neurocognition and functioning among patients with schizophrenia is well do...

Dec 2018 30537667
Ascertaining Depression Severity by Extracting Patient Health Questionnaire-9 (PHQ-9) Scores from Clinical Notes.

The Patient Health Questionnaire-9 (PHQ-9) is a validated instrument for assessing depression severi...

Dec 2018 30815052
Optimizing Corpus Creation for Training Word Embedding in Low Resource Domains: A Case Study in Autism Spectrum Disorder (ASD).

Automating the extraction of behavioral criteria indicative of Autism Spectrum Disorder (ASD) in ele...

Dec 2018 30815091
Disease comorbidity-guided drug repositioning: a case study in schizophrenia.

UNLABELLED: The key to any computational drug repositioning is the availability of relevant data in ...

Dec 2018 30815174
Self-limited single nanowire systems combining all-in-one memristive and neuromorphic functionalities.

The ability for artificially reproducing human brain type signals' processing is one of the main cha...

Dec 2018 30514894
Learning Spatial-Spectral-Temporal EEG Features With Recurrent 3D Convolutional Neural Networks for Cross-Task Mental Workload Assessment.

Mental workload assessment is essential for maintaining human health and preventing accidents. Most ...

Dec 2018 30507536
Toward a motor signature in autism: Studies from human-machine interaction.

BACKGROUND: Autism spectrum disorder (ASD) is a heterogeneous group of neurodevelopmental disorders ...

Nov 2018 30503684
Machine learning studies on major brain diseases: 5-year trends of 2014-2018.

In the recent 5 years (2014-2018), there has been growing interest in the use of machine learning (M...

Nov 2018 30498877
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